A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks

Amir Hazem, Basma El Amal Boussaha, Nicolas Hernandez


Anthology ID:
L18-1432
Volume:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Month:
May
Year:
2018
Address:
Miyazaki, Japan
Editors:
Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
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Pages:
Language:
URL:
https://aclanthology.org/L18-1432
DOI:
Bibkey:
Cite (ACL):
Amir Hazem, Basma El Amal Boussaha, and Nicolas Hernandez. 2018. A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA).
Cite (Informal):
A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks (Hazem et al., LREC 2018)
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PDF:
https://aclanthology.org/L18-1432.pdf